Integrated Supply and Demand Optimization Framework in Factories using an Improved Integer form of Adaptive Population-Based Incremental Learning and a Production Simulator-Reference-Cited by-同舟云学术

Integrated Supply and Demand Optimization Framework in Factories using an Improved Integer form of Adaptive Population-Based Incremental Learning and a Production Simulator

Published:2023-11-01 Issue:11 Volume:143 Page:728-741
ISSN:0913-6339
Container-title:IEEJ Transactions on Industry Applications
language:en
Short-container-title:IEEJ Trans. IA

Author:

Kawaguchi Shuhei¹,Fukuyama Yoshikazu²

Affiliation:

1. Information Technology R&D Center, Mitsubishi Electric Co.

2. Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering

Link

https://www.jstage.jst.go.jp/article/ieejias/143/11/143_728/_pdf

Reference43 articles.

1. (1) Carbon Neutrality by United Nations, https://sdgs.un.org/partnerships/carbon-neutrality

2. (2) Google社ホームページ：https://sustainability.google/commitments/carbon/#

3. (3) SoftBank社ホームページ：https://www.softbank.jp/en/corp/sustainability/special/carbon-neutral2030/

4. (4) 経済産業省資源エネルギー庁：「令和3年度エネルギーに関する年次報告(エネルギー白書2022)」, 第2部第1章 https://www.enecho.meti.go.jp/about/whitepaper/2022/pdf/ (2022)

5. (5) T. Stock and G. Seliger: “Opportunities of Sustainable Manufacturing in Industry 4.0”, Journal of Procedia CIRP, Vol. 40, pp. 536-541 (2016)

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